Road defect detection
Road defect detection with neural network and LiDAR-camera fusion
20 Sep 2023– 31 Mar 2024
The project will further develop and optimise the road defect detection algorithm developed within ARNL. The algorithm uses a self-learning neural network, LiDAR and camera fusion to determine road surface deviations in front of vehicles that are important for vehicle speed. The resulting system warns the driver if a speed reduction is required, or generates an intervention signal to the vehicle control system in the case of a self-driving vehicle. The off-the-shelf system uses low-cost and compact camera and LiDAR devices, and the algorithm can process real-time synchronised LiDAR camera images on embedded low-power systems.
Participants
HUN-REN INSTITUTE FOR COMPUTER SCIENCE AND CONTROL
D3Seeron Ltd.
ESA Sparkfunding
Department
1111 Budapest, Kende u. 13-17.
Room number
K409-412, K405-406, K413, K305-306, K408
Phone
Project coordinator
Email
tizedes.laszlo@sztaki.hun-ren.hu
Phone
+36 1 279 6174
Members
Email
tokarjev@sztaki.hun-ren.hu
Phone
+36 1 279 6158